Michael P. Campos

732 total citations
8 papers, 601 citations indexed

About

Michael P. Campos is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Michael P. Campos has authored 8 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 2 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Michael P. Campos's work include Quantum Dots Synthesis And Properties (7 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Nanocluster Synthesis and Applications (2 papers). Michael P. Campos is often cited by papers focused on Quantum Dots Synthesis And Properties (7 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Nanocluster Synthesis and Applications (2 papers). Michael P. Campos collaborates with scholars based in United States, Belgium and France. Michael P. Campos's co-authors include Jonathan S. Owen, Mark P. Hendricks, Gregory T. Cleveland, Ilan Jen‐La Plante, Matthew Y. Sfeir, Willem Walravens, Zeger Hens, Alexander N. Beecher, Justin M. Notestein and Todd R. Eaton and has published in prestigious journals such as Science, Journal of the American Chemical Society and Chemistry of Materials.

In The Last Decade

Michael P. Campos

8 papers receiving 599 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Campos United States 8 541 420 81 64 37 8 601
Guangcai Hu China 12 597 1.1× 397 0.9× 71 0.9× 68 1.1× 26 0.7× 28 673
Ngangbam Bedamani Singh India 12 437 0.8× 188 0.4× 53 0.7× 48 0.8× 37 1.0× 24 515
Daocheng Hong China 14 406 0.8× 398 0.9× 40 0.5× 94 1.5× 30 0.8× 51 556
Qiumei Di China 12 430 0.8× 251 0.6× 51 0.6× 107 1.7× 38 1.0× 21 466
Puju Zhao China 12 377 0.7× 211 0.5× 44 0.5× 57 0.9× 25 0.7× 23 413
Yatish R. Parauha India 16 627 1.2× 312 0.7× 43 0.5× 53 0.8× 60 1.6× 56 662
Matthew J. Greaney United States 11 554 1.0× 478 1.1× 32 0.4× 125 2.0× 28 0.8× 19 641
Stijn O. M. Hinterding Netherlands 11 419 0.8× 290 0.7× 51 0.6× 46 0.7× 86 2.3× 16 481
Lata Chouhan Japan 9 557 1.0× 575 1.4× 73 0.9× 179 2.8× 26 0.7× 12 743

Countries citing papers authored by Michael P. Campos

Since Specialization
Citations

This map shows the geographic impact of Michael P. Campos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael P. Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Campos more than expected).

Fields of papers citing papers by Michael P. Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Campos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael P. Campos. The network helps show where Michael P. Campos may publish in the future.

Co-authorship network of co-authors of Michael P. Campos

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Campos. A scholar is included among the top collaborators of Michael P. Campos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. Campos. Michael P. Campos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Campos, Michael P., Jonathan De Roo, Mark P. Hendricks, et al.. (2022). Growth kinetics determine the polydispersity and size of PbS and PbSe nanocrystals. Chemical Science. 13(16). 4555–4565. 25 indexed citations
2.
Abécassis, Benjamin, Michael P. Campos, Benoît Mahler, et al.. (2022). Persistent nucleation and size dependent attachment kinetics produce monodisperse PbS nanocrystals. Chemical Science. 13(17). 4977–4983. 18 indexed citations
3.
Yang, Haoran, Leslie S. Hamachi, Michael P. Campos, et al.. (2021). Performance of Spherical Quantum Well Down Converters in Solid State Lighting. ACS Applied Materials & Interfaces. 13(10). 12191–12197. 12 indexed citations
4.
Hamachi, Leslie S., Haoran Yang, Ilan Jen‐La Plante, et al.. (2019). Precursor reaction kinetics control compositional grading and size of CdSe1−xSx nanocrystal heterostructures. Chemical Science. 10(26). 6539–6552. 28 indexed citations
5.
Campos, Michael P., Mark P. Hendricks, Alexander N. Beecher, et al.. (2017). A Library of Selenourea Precursors to PbSe Nanocrystals with Size Distributions near the Homogeneous Limit. Journal of the American Chemical Society. 139(6). 2296–2305. 103 indexed citations
6.
Hendricks, Mark P., Michael P. Campos, Gregory T. Cleveland, Ilan Jen‐La Plante, & Jonathan S. Owen. (2015). A tunable library of substituted thiourea precursors to metal sulfide nanocrystals. Science. 348(6240). 1226–1230. 375 indexed citations
7.
Campos, Michael P. & Jonathan S. Owen. (2015). Synthesis and Surface Chemistry of Cadmium Carboxylate Passivated CdTe Nanocrystals from Cadmium bis(Phenyltellurolate). Chemistry of Materials. 28(1). 227–233. 10 indexed citations
8.
Eaton, Todd R., Michael P. Campos, Kimberly A. Gray, & Justin M. Notestein. (2013). Quantifying accessible sites and reactivity on titania–silica (photo)catalysts: Refining TOF calculations. Journal of Catalysis. 309. 156–165. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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